README Data

library(tidyverse) 
library(skimr)
library(codebook)

stroke <- read_csv("healthcare_dataset_stroke_data.csv")

## 
## ── Column specification ────────────────────────────────────────────────────────
## cols(
##   id = col_double(),
##   gender = col_character(),
##   age = col_double(),
##   hypertension = col_double(),
##   heart_disease = col_double(),
##   ever_married = col_character(),
##   work_type = col_character(),
##   Residence_type = col_character(),
##   avg_glucose_level = col_double(),
##   bmi = col_character(),
##   smoking_status = col_character(),
##   stroke = col_double()
## )

save(stroke,file="./stroke.RData")

Stroke Dataset Codebook

codebook(stroke)

## No missing values.

Metadata

Description

Dataset name: stroke

The dataset has N=5110 rows and 12 columns. 5110 rows have no missing values on any column.

Metadata for search engines

• Date published: 2021-04-29

x id gender age hypertension heart_disease ever_married work_type Residence_type avg_glucose_level bmi smoking_status stroke

#Variables

id

Distribution

Distribution of values for id

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
id	numeric	0	1	67	36932	72940	36517.83	21161.72	▇▇▇▇▇	NA

gender

Distribution

Distribution of values for gender

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
gender	character	0	1	3	0	4	6	0	NA

age

Distribution

Distribution of values for age

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
age	numeric	0	1	0.08	45	82	43.22661	22.61265	▅▆▇▇▆	NA

hypertension

Distribution

Distribution of values for hypertension

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
hypertension	numeric	0	1	0	0	1	0.097456	0.2966067	▇▁▁▁▁	NA

heart_disease

Distribution

Distribution of values for heart_disease

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
heart_disease	numeric	0	1	0	0	1	0.0540117	0.226063	▇▁▁▁▁	NA

ever_married

Distribution

Distribution of values for ever_married

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
ever_married	character	0	1	2	0	2	3	0	NA

work_type

Distribution

Distribution of values for work_type

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
work_type	character	0	1	5	0	7	13	0	NA

Residence_type

Distribution

Distribution of values for Residence_type

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
Residence_type	character	0	1	2	0	5	5	0	NA

avg_glucose_level

Distribution

Distribution of values for avg_glucose_level

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
avg_glucose_level	numeric	0	1	55	92	272	106.1477	45.28356	▇▃▁▁▁	NA

bmi

Distribution

Distribution of values for bmi

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
bmi	character	0	1	419	0	2	4	0	NA

smoking_status

Distribution

Distribution of values for smoking_status

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
smoking_status	character	0	1	4	0	6	15	0	NA

stroke

Distribution

Distribution of values for stroke

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
stroke	numeric	0	1	0	0	1	0.048728	0.2153199	▇▁▁▁▁	NA

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "stroke",
  "datePublished": "2021-04-29",
  "description": "The dataset has N=5110 rows and 12 columns.\n5110 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name              |label | n_missing|\n|:-----------------|:-----|---------:|\n|id                |NA    |         0|\n|gender            |NA    |         0|\n|age               |NA    |         0|\n|hypertension      |NA    |         0|\n|heart_disease     |NA    |         0|\n|ever_married      |NA    |         0|\n|work_type         |NA    |         0|\n|Residence_type    |NA    |         0|\n|avg_glucose_level |NA    |         0|\n|bmi               |NA    |         0|\n|smoking_status    |NA    |         0|\n|stroke            |NA    |         0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "keywords": ["id", "gender", "age", "hypertension", "heart_disease", "ever_married", "work_type", "Residence_type", "avg_glucose_level", "bmi", "smoking_status", "stroke"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "id",
      "@type": "propertyValue"
    },
    {
      "name": "gender",
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "@type": "propertyValue"
    },
    {
      "name": "hypertension",
      "@type": "propertyValue"
    },
    {
      "name": "heart_disease",
      "@type": "propertyValue"
    },
    {
      "name": "ever_married",
      "@type": "propertyValue"
    },
    {
      "name": "work_type",
      "@type": "propertyValue"
    },
    {
      "name": "Residence_type",
      "@type": "propertyValue"
    },
    {
      "name": "avg_glucose_level",
      "@type": "propertyValue"
    },
    {
      "name": "bmi",
      "@type": "propertyValue"
    },
    {
      "name": "smoking_status",
      "@type": "propertyValue"
    },
    {
      "name": "stroke",
      "@type": "propertyValue"
    }
  ]
}`

Skim Stroke Dataset Summary

skim(stroke)

Data summary

Name	stroke
Number of rows	5110
Number of columns	12
_______________________
Column type frequency:
character	6
numeric	6
________________________
Group variables	None

Variable type: character

skim_variable	n_missing	complete_rate	min	max	empty	n_unique	whitespace
gender	0	1	4	6	0	3	0
ever_married	0	1	2	3	0	2	0
work_type	0	1	7	13	0	5	0
Residence_type	0	1	5	5	0	2	0
bmi	0	1	2	4	0	419	0
smoking_status	0	1	6	15	0	4	0

Variable type: numeric

skim_variable	n_missing	complete_rate	mean	sd	p0	p25	p50	p75	p100	hist
id	0	1	36517.83	21161.72	67.00	17741.25	36932.00	54682.00	72940.00	▇▇▇▇▇
age	0	1	43.23	22.61	0.08	25.00	45.00	61.00	82.00	▅▆▇▇▆
hypertension	0	1	0.10	0.30	0.00	0.00	0.00	0.00	1.00	▇▁▁▁▁
heart_disease	0	1	0.05	0.23	0.00	0.00	0.00	0.00	1.00	▇▁▁▁▁
avg_glucose_level	0	1	106.15	45.28	55.12	77.24	91.88	114.09	271.74	▇▃▁▁▁
stroke	0	1	0.05	0.22	0.00	0.00	0.00	0.00	1.00	▇▁▁▁▁